
\begin{table}[H]
\begin{center}
\begin{tabular}{l D{.}{.}{5.4} D{.}{.}{5.4} D{.}{.}{5.3} D{.}{.}{5.3}}
\hline
 & \multicolumn{1}{c}{Linear} & \multicolumn{1}{c}{Quadratic} & \multicolumn{1}{c}{Cubic} & \multicolumn{1}{c}{Spline (df=3)} \\
\hline
intercept              & 0.19^{*}  & 0.18      & 0.24     & 0.24^{*} \\
                       & (0.10)    & (0.10)    & (0.12)   & (0.12)   \\
StudyYear              & -0.00     & 0.00      & -0.03    &          \\
                       & (0.00)    & (0.02)    & (0.04)   &          \\
CasualtiesLess10       & -0.04     & -0.04     & -0.04    & -0.04    \\
                       & (0.09)    & (0.09)    & (0.09)   & (0.09)   \\
Casualties10to100      & -0.01     & -0.01     & -0.02    & -0.02    \\
                       & (0.08)    & (0.08)    & (0.08)   & (0.08)   \\
Casualties100plus      & 0.03      & 0.03      & 0.02     & 0.02     \\
                       & (0.07)    & (0.07)    & (0.08)   & (0.08)   \\
Exp                    & -0.10     & -0.10     & -0.10    & -0.10    \\
                       & (0.06)    & (0.06)    & (0.07)   & (0.07)   \\
NatExp                 & -0.09     & -0.09     & -0.09    & -0.10    \\
                       & (0.05)    & (0.05)    & (0.06)   & (0.06)   \\
ProbSample             & 0.05      & 0.05      & 0.05     & 0.05     \\
                       & (0.05)    & (0.05)    & (0.05)   & (0.05)   \\
Outgroup               & 0.03      & 0.03      & 0.03     & 0.03     \\
                       & (0.03)    & (0.03)    & (0.03)   & (0.03)   \\
Rally                  & -0.02     & -0.02     & -0.02    & -0.02    \\
                       & (0.04)    & (0.04)    & (0.04)   & (0.04)   \\
US                     & 0.14^{**} & 0.14^{**} & 0.13^{*} & 0.13^{*} \\
                       & (0.05)    & (0.05)    & (0.06)   & (0.06)   \\
StudyYear$^2$          &           & -0.00     & 0.00     &          \\
                       &           & (0.00)    & (0.01)   &          \\
StudyYear$^3$          &           &           & -0.00    &          \\
                       &           &           & (0.00)   &          \\
ns(StudyYear, df = 3)1 &           &           &          & 0.03     \\
                       &           &           &          & (0.10)   \\
ns(StudyYear, df = 3)2 &           &           &          & -0.21    \\
                       &           &           &          & (0.22)   \\
ns(StudyYear, df = 3)3 &           &           &          & -0.07    \\
                       &           &           &          & (0.09)   \\
\hline
tau.squared            & 0.00      & 0.00      & 0.00     & 0.00     \\
cochran.qe             & 35915.92  & 35906.86  & 35905.90 & 35898.89 \\
p.value.cochran.qe     & 0.00      & 0.00      & 0.00     & 0.00     \\
cochran.qm             & 24.56     & 24.46     & 24.83    & 24.89    \\
p.value.cochran.qm     & 0.01      & 0.01      & 0.02     & 0.02     \\
DF Resid.              & 713       & 712       & 711      & 711      \\
Log Likelihood         & -131.79   & -131.38   & -130.77  & -130.72  \\
Deviance               & 263.57    & 262.75    & 261.53   & 261.43   \\
AIC                    & 289.57    & 290.75    & 291.53   & 291.43   \\
BIC                    & 348.98    & 354.71    & 360.03   & 359.93   \\
AICc                   & 290.09    & 291.36    & 292.22   & 292.12   \\
nobs                   & 724       & 724       & 724      & 724      \\
\hline
\multicolumn{5}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Over-time meta-regressions with non-linear specifications}
\label{tab:overtime_nonlin_models}
\end{center}
\end{table}
